Estimated legacy effects from simulated post-trial data were less biased than from combined trial/post-trial data.
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Open Access
Type
ArticleAbstract
“Legacy effects” describe the phenomena where treatment effects are apparent during the post-trial period that are not attributable to the direct effects observed within the trial. We investigate different approaches to analysis of trial and extended follow-up data for the evaluation of legacy effects.
We conducted a simulation to compare three approaches, which differed in terms of the time period and selection of trial participants included in the analysis.“Legacy effects” describe the phenomena where treatment effects are apparent during the post-trial period that are not attributable to the direct effects observed within the trial. We investigate different approaches to analysis of trial and extended follow-up data for the evaluation of legacy effects.
We conducted a simulation to compare three approaches, which differed in terms of the time period and selection of trial participants included in the analysis.
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Date
2019Source title
Journal of Clinical EpidemiologyVolume
114Publisher
ElsevierLicence
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0Faculty/School
Faculty of Medicine and Health, Sydney School of Public HealthShare